elevenlabs_list_speech_engines
List Speech Engines. Returns a paginated list of Speech Engine resources.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cursor | No | ||
| search | No | ||
| account | No | ||
| sort_by | No | ||
| page_size | No | ||
| sort_direction | No |
List Speech Engines. Returns a paginated list of Speech Engine resources.
| Name | Required | Description | Default |
|---|---|---|---|
| cursor | No | ||
| search | No | ||
| account | No | ||
| sort_by | No | ||
| page_size | No | ||
| sort_direction | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds useful behavioral context by disclosing pagination in the response. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences with no filler. The key purpose ('List Speech Engines') is front-loaded and the pagination detail is useful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 6-parameter list tool with no output schema and no parameter descriptions, this minimal description leaves search, sorting, account filtering, and return shape under-specified. Strong annotations reduce safety concerns but do not fill the functional gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 6 parameters with 0% description coverage, and the description only mentions 'paginated', which hints at cursor/page_size but does not explain search, account, sort_by, sort_direction, or page_size semantics. This does not adequately compensate for the missing schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('List') and resource ('Speech Engines'), clearly distinguishing it from singular get_speech_engine and create/update/delete siblings. It also adds that the result is a paginated list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied by the tool name and the verb 'List'. There is no explicit statement about when to use this tool versus alternatives like get_speech_engine for retrieving a single engine.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.